Skip to content

Towards Scalable Multi-view Clustering via Joint Learning of Many Bipartite Graphs. To appear in IEEE Transactions on Big Data.

Notifications You must be signed in to change notification settings

huangdonghere/SMCMB

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SMCMB:Scalable Multi-view Clustering via Many Bipartite Graphs

This is a demo for the SMCMB (Scalable Multi-view Clustering via Many Bipartite Graphs) algorithm, which is presented in the following paper.

Jinghuan Lao, Dong Huang, Chang-Dong Wang, Jian-Huang Lai. Towards Scalable Multi-view Clustering via Joint Learning of Many Bipartite Graphs. IEEE Transactions on Big Data, accepted, 2023.

Run "demo_SMCMB.m" to test the algorithm.

Further Questions?

Don't hesitate to contact us if you have any questions regarding this work.
Email: huangdonghere at gmail dot com

About

Towards Scalable Multi-view Clustering via Joint Learning of Many Bipartite Graphs. To appear in IEEE Transactions on Big Data.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages